Keras metadata

Keras metadata

get

Get metadata about a trained Keras block. Use the impulse blocks to find the learnId.

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerRequired

Project ID

learnIdintegerRequired

Learn Block ID, use the impulse functions to retrieve the ID

Query parameters

excludeLabelsbooleanOptional

If set to "true", the "labels" field is left empty (which can be big on e.g. regression projects).

Responses

200

OK

application/json

Responseall of

get

HTTPcURLJavaScriptPython

GET /v1/api/{projectId}/training/keras/{learnId}/metadata HTTP/1.1
Host: studio.edgeimpulse.com
x-api-key: YOUR_API_KEY
Accept: */*

200

OK

{
  "success": true,
  "error": "text",
  "created": "2025-06-30T22:10:26.293Z",
  "layers": [
    {
      "input": {
        "shape": 33,
        "name": "x_input:0",
        "type": "<dtype: 'float32'>"
      },
      "output": {
        "shape": 20,
        "name": "dense_1/Relu:0",
        "type": "<dtype: 'float32'>"
      }
    }
  ],
  "classNames": [
    "text"
  ],
  "labels": [
    "text"
  ],
  "availableModelTypes": [
    "int8"
  ],
  "recommendedModelType": "int8",
  "modelValidationMetrics": [
    {
      "type": "int8",
      "loss": 1,
      "accuracy": 1,
      "confusionMatrix": [
        [
          31,
          1,
          0
        ],
        [
          2,
          27,
          3
        ],
        [
          1,
          0,
          39
        ]
      ],
      "report": {},
      "onDevicePerformance": [
        {
          "mcu": "text",
          "name": "text",
          "isDefault": true,
          "latency": 1,
          "tflite": {
            "ramRequired": 1,
            "romRequired": 1,
            "arenaSize": 1,
            "modelSize": 1
          },
          "eon": {
            "ramRequired": 1,
            "romRequired": 1,
            "arenaSize": 1,
            "modelSize": 1
          },
          "eon_ram_optimized": {
            "ramRequired": 1,
            "romRequired": 1,
            "arenaSize": 1,
            "modelSize": 1
          },
          "customMetrics": [
            {
              "name": "text",
              "value": "text"
            }
          ],
          "hasPerformance": true,
          "profilingError": "text"
        }
      ],
      "predictions": [
        {
          "sampleId": 1,
          "startMs": 1,
          "endMs": 1,
          "label": "text",
          "prediction": "text",
          "predictionCorrect": true,
          "f1Score": 1,
          "anomalyScores": [
            [
              1
            ]
          ]
        }
      ],
      "visualization": "featureExplorer",
      "isSupportedOnMcu": true,
      "mcuSupportError": "text",
      "profilingJobId": 1,
      "profilingJobFailed": true,
      "additionalMetrics": [
        {
          "name": "text",
          "value": "text",
          "fullPrecisionValue": 1,
          "tooltipText": "text",
          "link": "text"
        }
      ]
    }
  ],
  "hasTrainedModel": true,
  "mode": "classification",
  "objectDetectionLastLayer": "mobilenet-ssd",
  "imageInputScaling": "0..1",
  "thresholds": [
    {
      "key": "min_score",
      "description": "Score threshold",
      "helpText": "Threshold score for bounding boxes. If the score for a bounding box is below this the box will be discarded.",
      "suggestedValue": 1,
      "suggestedValueText": "text",
      "value": 0.5
    }
  ],
  "tensorboardGraphs": [
    {
      "title": "text",
      "xLabel": "text",
      "yLabel": "text",
      "description": "text",
      "hideInUI": true,
      "data": [
        {
          "title": "text",
          "values": [
            1
          ]
        }
      ]
    }
  ]
}